How to create cumulative precipitation vs. temperature graph in a single plot - r

Question

I have historical data for precip vs. annual temperature. I want to plot them into cool & wet, warm and wet, cool and dry, warm and dry years. Can someone help me with this?
Year Precip annual temperature
1987 821 8.5
1988 441 8
1989 574 7.9
1990 721 12.4
1991 669 10.8
1992 830 10
1993 1105 7.8
1994 772 8
1995 678 6.7
1996 834 8
1997 700 11
1998 786 11.2
1999 612 12
2000 758 10.6
2001 833 11
2002 622 10.6
2003 656 10.7
2004 799 9.9
2005 647 10.8
2006 764 12
2007 952 12.5
2008 943 10.86
2009 610 12.8
2010 766 11
2011 717 11.3
2012 602 9.5
2013 834 10.6
2014 758 11
2015 841 11
2016 630 11.5
2017 737 11.2
Average 742.32 10.36

Answer 1

As Majid suggested, you need to give more detail so you can get better answers. At least, try to use dput() with your dataframe, so we can get a reproducible copy of it. Copying and pasting into Excel is not appropriate for these kind of questions.
In any case, that graph can be easily be done using the ggplot2 package. You graph each year based on its X and Y coordinates and then manually add the lines and the titles for each category. You do need to establish the boundaries between cool/warm and dry/wet, of course.
library(ggplot2)
rain <- read.csv('~/data/rain.csv')
limit_humid <- 800
limit_warm <- 9.5
ggplot(rain, aes(x = temp, y = precip)) +
geom_text(aes(label = year)) +
geom_vline(xintercept = limit_warm) +
geom_hline(yintercept = limit_humid) +
annotate('text', label = 'bold("Cool and wet")', size = 4, parse = T,
x = min(rain$temp), y = max(rain$precip)) +
annotate('text', label = 'bold("Warm and wet")', size = 4, parse = T,
x = max(rain$temp), y = max(rain$precip)) +
annotate('text', label = 'bold("Cool and dry")', size = 4, parse = T,
x = min(rain$temp), y = min(rain$precip)) +
annotate('text', label = 'bold("Warm and wet")', size = 4, parse = T,
x = max(rain$temp), y = min(rain$precip)) +
theme_classic() +
labs(x = 'Average Temperature (°C)',
y = 'Cumulative precipitation (mm)')